WMT19 EN→DE vs Opus MT EN→FR
Compare the listed model data for WMT19 EN→DE by facebook and Opus MT EN→FR by Helsinki NLP. Benchmark and pricing records are not a controlled test and may change.
Data last updated: 2026-10-16. Verify current model details with each provider.
What the listed data says
WMT19 EN→DE: 512 tokens; Opus MT EN→FR: 512 tokens. The listed context-window values are equal. WMT19 EN→DE is listed for no specific capability flags; Opus MT EN→FR is listed for no specific capability flags. Shared catalog benchmark entries: No shared benchmark labels are listed in these model records. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
Catalog source links
Use these model and provider links to verify current specifications, pricing, and availability.
Computed differences from catalog data
- The listed context windows are 512 tokens and 512 tokens; the larger is 1× the smaller.
- No shared benchmark labels are present in both catalog records.
- The first listed parameter quantities are 600M and ~300M; the larger quantity is 2× the smaller. Total and active MoE parameters are not directly equivalent.
- A release-date gap cannot be calculated from the catalog values (WMT19 EN→DE: 2019; Opus MT EN→FR: 2020).
Cost example: 1M input and 1M output tokens
A cost example for 1M input plus 1M output tokens cannot be calculated reliably because separate numeric input and output rates are not listed for both models.
Choose WMT19 EN→DE if…
Choose WMT19 EN→DE when your task aligns with catalog-listed uses or strengths such as Formal German document translation at scale, News content localization for DACH markets, WMT19 competition winner for English→German, Strong on formal and news-domain German.
Choose Opus MT EN→FR if…
Choose Opus MT EN→FR when your task aligns with catalog-listed uses or strengths such as High-volume English→French content localization, GDPR-compliant on-premise translation, High BLEU for English→French — one of the best Helsinki NLP pairs, Apache 2.0.
WMT19 EN→DE
Meta's WMT19 winning English-to-German translator — production-grade quality, especially strong on news and formal writing.
Parameters: 600M
Context: 512 tokens
Catalog pricing: MIT — free
Opus MT EN→FR
Helsinki-NLP MarianMT for English-to-French — high-quality formal and conversational translation with proper accents and grammar.
Parameters: ~300M
Context: 512 tokens
Catalog pricing: Apache 2.0 — free
Feature Comparison — WMT19 EN→DE vs Opus MT EN→FR
| Specification | WMT19 EN→DE | Opus MT EN→FR |
|---|---|---|
| Provider | Helsinki NLP | |
| Parameters | 600M | ~300M |
| Context window | 512 tokens | 512 tokens |
| Maximum output | Not listed | Not listed |
| Catalog pricing | MIT — free | Apache 2.0 — free |
| Listed input/output cost per 1M tokens | Separate numeric input/output rates not listed | Separate numeric input/output rates not listed |
| License | MIT | Apache 2.0 |
| Coding support | Not listed | Not listed |
| Reasoning support | Not listed | Not listed |
| Vision input | Not listed | Not listed |
| Multimodal | Not listed | Not listed |
| Open weights | Yes | Yes |
Figures are transcribed from LITHOVEX model records. Benchmark versions and evaluation setups may differ; pricing and specifications can change. Check each provider's current documentation before making a decision.
Frequently Asked Questions
What is different between WMT19 EN→DE and Opus MT EN→FR?
What benchmark values are listed for WMT19 EN→DE and Opus MT EN→FR?
Which model has the larger listed context window?
What are the listed costs per million tokens for WMT19 EN→DE and Opus MT EN→FR?
How far apart are the listed release dates for WMT19 EN→DE and Opus MT EN→FR?
When was the comparison data last updated?
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Explore these models and related comparisons
Read the WMT19 EN→DE model profile and Opus MT EN→FR model profile, or browse the model directory.